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Mendeley readers
Title |
Review of Nitrogen Compounds Prediction in Water Bodies Using Artificial Neural Networks and Other Models
|
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Published in |
Sustainability, May 2020
|
DOI | 10.3390/su12114359 |
Authors |
Pavitra Kumar, Sai Hin Lai, Jee Khai Wong, Nuruol Syuhadaa Mohd, Rowshon Kamal, Haitham Abdulmohsin Afan, Ali Najah Ahmed, Mohsen Sherif, Ahmed Sefelnasr, Ahmed El-Shafie |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 73 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 15 | 21% |
Student > Master | 7 | 10% |
Student > Ph. D. Student | 6 | 8% |
Researcher | 4 | 5% |
Lecturer > Senior Lecturer | 4 | 5% |
Other | 10 | 14% |
Unknown | 27 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 15 | 21% |
Environmental Science | 5 | 7% |
Chemical Engineering | 4 | 5% |
Chemistry | 4 | 5% |
Agricultural and Biological Sciences | 3 | 4% |
Other | 12 | 16% |
Unknown | 30 | 41% |